Synchronization criteria for neural networks with proportional delays via quantized control
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DOI: 10.1007/s11071-018-4376-x
Abstract: With the aid of quantized control, this paper presents new synchronization criteria of neural networks (NNs) with proportional delays. The NNs with constant delays and variable coefficients are obtained, which are equivalently transformed from the… read more here.
Keywords: synchronization criteria; quantized control; neural networks; criteria neural ... See more keywords
Asymptotical and adaptive synchronization of Cohen-Grossberg neural networks with heterogeneous proportional delays
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.09.076
Abstract: Abstract In this paper, the synchronization of Cohen–Grossberg neural networks with proportional delays is investigated. Firstly, the asymptotical synchronization is proposed by designing a simple linear feedback controller, and some delay-independent and delay-dependent criteria are… read more here.
Keywords: synchronization cohen; neural networks; grossberg neural; proportional delays ... See more keywords
New delay and order-dependent passivity criteria for impulsive fractional-order neural networks with switching parameters and proportional delays
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DOI: 10.1016/j.neucom.2021.04.099
Abstract: Abstract This work deals with the problem of passivity analysis of fractional-order neural networks (FONNs) with impulse, proportional delays and state-dependent switching parameters. The novelty of the work lies in addressing the crucial issue of… read more here.
Keywords: order neural; passivity; order; delay ... See more keywords
Anti-synchronization control of BAM memristive neural networks with multiple proportional delays and stochastic perturbations
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DOI: 10.1142/s0217984918500288
Abstract: Proportional delay is a class of unbounded time-varying delay. A class of bidirectional associative memory (BAM) memristive neural networks with multiple proportional delays is concerned in this paper. First, we propose the model of BAM… read more here.
Keywords: neural networks; networks multiple; memristive neural; multiple proportional ... See more keywords